Hi @lsdefine 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your datasets for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs: https://huggingface.co/papers/2604.17091.
Would you like to host the datasets you've released (specifically the million-scale Skill Library and the experiment reproduction data) on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility and enable better discoverability within the AI community. It also allows researchers and developers to easily load your data using:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/generic-agent-skills")If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the trajectories and skills in the browser.
After uploaded, we can also link the datasets to the paper page so people can discover your work more effectively.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @lsdefine 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your datasets for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs: https://huggingface.co/papers/2604.17091.
Would you like to host the datasets you've released (specifically the million-scale Skill Library and the experiment reproduction data) on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility and enable better discoverability within the AI community. It also allows researchers and developers to easily load your data using:
If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading. Besides that, there's the dataset viewer which allows people to quickly explore the trajectories and skills in the browser.
After uploaded, we can also link the datasets to the paper page so people can discover your work more effectively.
Let me know if you're interested or need any guidance!
Kind regards,
Niels